| User | NSALZAHRANI |
| Upload Date | April 18 2026 05:51 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3750H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. TUF Gaming FX505DT_FX505DT |
| Motherboard | ASUSTeK COMPUTER INC. FX505DT |
| Power Plan | Power saver |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3750H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (Q)
|
96% |
591
110.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
143
2.32 IPS |
|
|
Image Segmentation (HP)
|
100% |
229
3.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
405
6.59 IPS |
|
|
Pose Estimation (SP)
|
100% |
761
0.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
598
0.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
1047
1.24 IPS |
|
|
Object Detection (SP)
|
100% |
374
29.7 IPS |
|
|
Object Detection (HP)
|
100% |
199
15.7 IPS |
|
|
Object Detection (Q)
|
58% |
430
47.0 IPS |
|
|
Face Detection (SP)
|
100% |
956
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (Q)
|
96% |
1407
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
928
7.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
552
4.25 IPS |
|
|
Depth Estimation (Q)
|
78% |
1345
10.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1827
2.35 IPS |
|
|
Style Transfer (HP)
|
100% |
1663
2.14 IPS |
|
|
Style Transfer (Q)
|
87% |
2386
3.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
291
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
612
22.7 IPS |
|
|
Text Classification (SP)
|
100% |
328
437.6 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (Q)
|
97% |
271
362.6 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.85 IPS |
|
|
Machine Translation (Q)
|
68% |
733
14.2 IPS |